Staff AI Engineer
GE VernovaResponsibilities
- Design, develop, deploy, and integrate AI, generative AI, machine learning, deep learning, neural network, optimization, and advanced analytics solutions.
- Own the machine learning lifecycle, including dataset construction, metrics, acceptance criteria, evaluation strategies, and production monitoring.
- Translate operational and business needs into scalable AI-enabled applications, tools, workflows, and end-to-end solution architectures.
- Design cloud-ready and on-premises solutions that comply with IT, cybersecurity, data-governance, reliability, usability, and maintainability standards.
- Assess data readiness and lead or support the collection, processing, structuring, and analysis of large-scale structured and unstructured data.
- Develop use cases including predictive maintenance, anomaly detection, forecasting, quality and performance prediction, cost analysis, document analysis, and knowledge-support tools.
- Write technical specifications and statements of work, evaluate suppliers and platforms, and review internal and external partner deliverables.
- Conduct technical, design, code, model, quality-gate, and acceptance reviews while remaining accountable for the delivered solution.
- Collaborate with domain, business, operational, technical, and IT teams and support end-user training, onboarding, feedback, and benefits measurement.
- Evaluate emerging technologies such as edge AI, synthetic data, reinforcement learning, and large language models for practical industrial and business applications.
Requirements
- Master’s degree in Engineering, Computer Science, Data Science, Applied Mathematics, or a related field.
- At least 8 years of overall professional experience.
- Several years, stated as 2 to 4 years, of professional experience in artificial intelligence, machine learning, data science, software engineering, or a comparable technical role.
- Strong programming skills in Python, C++, or similar languages and proficiency with development environments such as VS Code.
- Hands-on experience with TensorFlow and/or PyTorch, classical machine learning tooling such as scikit-learn, and gradient boosting methods.
- Experience with time-series analysis, optimization methods, data-driven model development, GenAI, RAG, vector databases, and A2A.
- Experience handling technical documents, specifications, reports, structured data, and tabular data.
- Solid grounding in Azure, AWS, cloud services, and cloud architecture.
- Working knowledge of SQL, data pipelines, data engineering fundamentals, and structured and unstructured data handling.
- Familiarity with MLOps, model deployment, and production integration is advantageous.
- Industrial, technical, or complex operational environment experience is preferred; knowledge of industrial processes, electrification, power systems, or related domains is advantageous.
- Awareness of AI governance topics such as the EU AI Act and GDPR, plus innovation management or patent-related experience, is a plus.
- Strong analytical, strategic, documentation, communication, collaboration, and stakeholder-management skills, with excellent written and verbal English.
Benefits
- Relocation assistance is provided.
About GE Vernova
GE Vernova is a purpose-built energy technology company on a mission to electrify to thrive and decarbonize the world. It is made up of three businesses -- Power, Electrification, and Wind -- with focus on accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. The world needs more energy, smarter energy. With energy demand expected to grow by more than 50% in the next 20 years, we are continuously innovating to meet the moment…like we have for the past 130 years. The Energy of Change and relentless optimism are what drive us – it’s about never giving up and seeing what’s possible so that we deliver the energy technologies the world needs right now and for generations to come. GE Vernova’s attitude and edge is embedded in its name. We retain our treasured legacy, “GE,” as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. Together, we have the energy to change the world.